3 papers
cs.SD2026
QC-GAN: A Parameter-Efficient Quaternion Conformer GAN for High-Fidelity Speech Enhancement
Shogo Yamauchi, Hideaki Tamori, Makoto Sakai +2
We propose a parameter-efficient speech enhancement framework, Quaternion Conformer GAN (QC-GAN), which combines a Quaternion Conformer generator with MetricGAN-based training. The…
cs.LG2026
Quaternion Self-Attention with Shared Scores
Shogo Yamauchi, Tohru Nitta, Hideaki Tamori
Quaternion neural networks are parameter-efficient and model multidimensional dependencies by representing four related features as a single entity. However, existing quaternion se…
cs.NE2025
Learning Characteristics of Reverse Quaternion Neural Network
Shogo Yamauchi, Tohru Nitta, Takaaki Ohnishi
The purpose of this paper is to propose a new multi-layer feedforward quaternion neural network model architecture, Reverse Quaternion Neural Network which utilizes the non-commuta…